@inproceedings{bef50d2faf164148bb4f19edb2fced29,
title = "Using Probabilistic Parsers to Support Salsa Music Composition",
abstract = "Salsa is a long-established music genre. It has been used as a way to define, identify and express social beliefs. Due to the limited computational study of this genre, we consider relevant to identify and analyze the musical features of this music genre. Thus, we train a corpus with Grupo Niche songs for generating the production rules for an induced probabilistic context-free grammar through a probabilistic parser. In addition, we implement a web-based tool to support musical composition and generate automatic Salsa songs. In this work, we also compare three automatic songs using cross-validation on the corpus. We show the stability of the grammar because the precision of the generated songs compared to corpus{\textquoteright} songs is close to those that are not in the corpus.",
keywords = "Automatic songs, Musical composition, Precision, Probabilistic context-free grammar, Probabilistic parser, Recall, Rules, Salsa, Treebank, Web-based tool",
author = "Brayan Rodr{\'i}guez and \{De Pi{\~n}{\'e}rez\}, \{Ra{\'u}l Guti{\'e}rrez\} and Sarria, \{Gerardo M.\}",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 6th International Conference on Mathematics and Computation in Music, MCM 2017 ; Conference date: 26-06-2017 Through 29-06-2017",
year = "2017",
doi = "10.1007/978-3-319-71827-9\_28",
language = "English",
isbn = "9783319718262",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "361--372",
editor = "Agustin-Aquino, \{Octavio A.\} and Emilio Lluis-Puebla and Mariana Montiel",
booktitle = "Mathematics and Computation in Music - 6th International Conference, MCM 2017, Proceedings",
address = "Germany",
}